The file P12_10.xlsx contains the daily closing prices of Walmart stock for a one-year period. Does a linear or exponential trend fit these data well? If so, estimate and interpret the best trend model for this time series. Also, interpret the R2 and se values.
Answer to relevant QuestionsThe file P12_11.xlsx contains monthly values of the U.S. national debt (in dollars) from 1993 to early 2010. Fit an exponential growth curve to these data. Write a short report to summarize your findings. If the U.S. ...The file P12_16.xlsx contains the daily closing prices of American Express stock for a one-year period. a. Use the random walk model to forecast the closing price of this stock on the next trading day.b. You can be about 95% ...Consider a random walk model with the following equation: Yt = Yt -1 + 500 9 et, where et is a normally distributed random series with mean 0 and standard deviation 10.a. Use Excel to simulate a time series that behaves ...The file P12_31.xlsx lists the monthly unemployment rates for several years. A common way to forecast time series is by using regression with lagged variables. a. Predict future monthly unemployment rates using some ...The file S02_28.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with a carefully chosen span to forecast ...
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